CSL guides clients to a deeper understanding of the challenges to mitigating risks associated with increased integration, connectivity and incorporation of Machine Learning.

Underwater navigation depends on sophisticated algorithms for processing real time data from advanced sensors. CSL provides expertise to develop compelling claims-argument-evidence safety cases.

Decades of experience guide CSL to effectively identify hazards and assess the safety of highly integrated and interdependent “systems of systems” to enhance safety and support compliance.

Real time control of a driverless train relies upon complex statistical algorithms. CSL’s uses deep knowledge of formal methods to address safety challenges at the heart of emergent technology.

CSL draws on extensive experience to address safety challenges in emergent technology that arise from the introduction of Machine Learning and AI in airborne and ground-based systems.

CSL can address challenges to safety in care environments including availability and integrity of information, cybersecurity and the emergence of advanced diagnostic capabilities based on AI.